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Hands-On Serverless Applications with Go

You're reading from   Hands-On Serverless Applications with Go Build real-world, production-ready applications with AWS Lambda

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Product type Paperback
Published in Aug 2018
Publisher Packt
ISBN-13 9781789134612
Length 416 pages
Edition 1st Edition
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Author (1):
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Mohamed Labouardy Mohamed Labouardy
Author Profile Icon Mohamed Labouardy
Mohamed Labouardy
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Table of Contents (17) Chapters Close

Preface 1. Go Serverless 2. Getting Started with AWS Lambda FREE CHAPTER 3. Developing a Serverless Function with Lambda 4. Setting up API Endpoints with API Gateway 5. Managing Data Persistence with DynamoDB 6. Deploying Your Serverless Application 7. Implementing a CI/CD Pipeline 8. Scaling Up Your Application 9. Building the Frontend with S3 10. Testing Your Serverless Application 11. Monitoring and Troubleshooting 12. Securing Your Serverless Application 13. Designing Cost-Effective Applications 14. Infrastructure as Code 15. Assessments 16. Other Books You May Enjoy

Lambda cost and memory tracking

The key behind designing cost-effective serverless applications in AWS Lambda is by monitoring your cost and resource usage. Unfortunately, CloudWatch doesn't provide out of the box metrics about the resource usage or the Lambda function cost. Luckily, for each execution, the Lambda function writes an execution log to CloudWatch that looks like the following:

REPORT RequestId: 147e72f8-5143-11e8-bba3-b5140c3dea53 Duration: 12.00 ms Billed Duration: 100 ms  Memory Size: 128 MB Max Memory Used: 21 MB 

The preceding log shows the memory that's allocated and used for a given request. Those values can be extracted with a simple CloudWatch log metric filter. This feature enables you to search for specific keywords in your logs.

Open the AWS CloudWatch console and select Log Groups from the navigation pane. Next, search for the log group associated...

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